The DOI matches its Crossref record; 139 of the 141 references it cites were found in a registry or an index.
Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model
Open accessAbstract
Much previous research has established that perceived ease of use is an important factor influencing user acceptance and usage behavior of information technologies. However, very little research has been conducted to understand how that perception forms and changes over time. The current work presents and tests an anchoring and adjustment-based theoretical model of the determinants of system-specific perceived ease of use. The model proposes control (internal and external—conceptualized as computer self-efficacy and facilitating conditions, respectively), intrinsic motivation (conceptualized as computer playfulness), and emotion (conceptualized as computer anxiety) as anchors that determine early perceptions about the ease of use of a new system. With increasing experience, it is expected that system-specific perceived ease of use, while still anchored to the general beliefs regarding computers and computer use, will adjust to reflect objective usability, perceptions of external control specific to the new system environment, and system-specific perceived enjoyment. The proposed model was tested in three different organizations among 246 employees using three measurements taken over a three-month period. The proposed model was strongly supported at all points of measurement, and explained up to 60% of the variance in system-specific perceived ease of use, which is twice as much as our current understanding. Important theoretical and practical implications of these findings are discussed.
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“Further, previous research (Venkatesh 2000) has shown that ANX is a conceptually and empirically distinct construct.”
From Understanding the determinants of novel technology adoption among teachers: the case of 3D printing (2020) · cites this paper as Venkatesh 2000
In the citing paper
“enjoyment (Venkatesh 2000)”
From Emotional Manipulation by AI Companions (2025) · cites this paper as Venkatesh 2000
In the citing paper
“The tradition of adding variables is common in research on TAM [51, 136, 137] and on more general theories of human behavior [138, 139].”
From The Technology Acceptance Model: Its past and its future in health care (2010) · cites this paper as [137]
Citations
Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Perceived usefulness, perceived ease of use, and user acceptance of information technology
Davis, F. D. (1989) · MIS Quarterly · doi:10.2307/249008 · Cited by 68,483
(1975) · PhilPapers (PhilPapers Foundation) · Cited by 36,737
Tversky, A., & Kahneman, D. (1974) · Science · doi:10.1126/science.185.4157.1124 · Cited by 28,810
(1980) · Medical Entomology and Zoology · Cited by 25,810
User Acceptance of Computer Technology: A Comparison of Two Theoretical Models
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989) · Management Science · doi:10.1287/mnsc.35.8.982 · Cited by 25,709
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies
Venkatesh, V., & Davis, F. D. (2000) · Management Science · doi:10.1287/mnsc.46.2.186.11926 · Cited by 23,066
Self-citationJudgment under Uncertainty: Heuristics and Biases
Tversky, A., & Kahneman, D. (1975) · Utility, Probability, and Human Decision Making · doi:10.1007/978-94-010-1834-0_8 · Cited by 22,650
(1985) · Medical Entomology and Zoology · Cited by 19,180
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Research works printed but not linked: 13
- Chin W. W., 1996, Admin. Sci. Assoc. Canada-24th Conf., IS Division Proc., 65
- Chin W. W., 1996, Proc. 17th Internat. Conf. Inform. Systems
- Compeau D. R., 1992, Individual Reactions to Computer Technology
- 10.1037/0022-3514.53.6.1024 · DOI · Paper page
- Elasmar M. G., 1996, J. Mass Comm. Ed., 51, 46
- Malone T. W., 1981, Byte, 6, 258
- 10.1111/j.1540-5915.1994.tb01840.x · DOI
- 10.1037/0022-3514.49.3.843 · DOI · Paper page
- Slovic P., 1971, Organ. Behavior and Human Performance, 6, 641
- 10.1037/0022-3514.66.5.895 · DOI
- Todd P., 1993, INFOR, 31, 1
- 10.1111/j.1540-5915.1996.tb01822.x · DOI · Paper page
- 10.2307/3150927 · DOI
Cited by
Sorted by citations
Items 701–800 of 1,046
Evaluating IS usage in Malaysian small and medium‐sized firms using the technology acceptance model
Ndubisi, N. O., & Jantan, M. (2003) · Logistics Information Management · doi:10.1108/09576050310503411 · Cited by 137
The Effect of Using E-Learning Tools in Online and Campus-based Classrooms on Student Performance
Galy, E., Downey, C., & Johnson, J. S. (2011) · Journal of Information Technology Education Research · doi:10.28945/1503 · Cited by 131
Baur, A. W., Bühler, J., Bick, M., & Bonorden, C. S. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-25013-7_6 · Cited by 151
The role of media dependency in predicting continuance intention to use ubiquitous media systems
Carillo, K., Scornavacca, E., & Za, S. (2016) · Information & Management · doi:10.1016/j.im.2016.09.002 · Cited by 134
Usability of virtual reality for basic design education: a comparative study with paper-based design
Özgen, D. S., Afacan, Y., & Sürer, E. (2019) · International Journal of Technology and Design Education · doi:10.1007/s10798-019-09554-0 · Cited by 139
Ogonowski, A., Montandon, A., Botha, E., & Reyneke, M. (2014) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2014.03.004 · Cited by 138
Text analytics in industry: Challenges, desiderata and trends
Ittoo, A., Nguyen, L.-M., & van den Bosch, A. P. J. (2015) · Computers in Industry · doi:10.1016/j.compind.2015.12.001 · Cited by 136
Piçarra, N. J. G., & Giger, J. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.04.026 · Cited by 137
Is that authentic or artificial? Understanding consumer perceptions of risk in e‐service encounters
Featherman, M. S., Valacich, J. S., & Wells, J. D. (2006) · Information Systems Journal · doi:10.1111/j.1365-2575.2006.00211.x · Cited by 129
Shin, D. (2009) · Information & Management · doi:10.1016/j.im.2008.05.004 · Cited by 133
Can we have fun @ work? The role of intrinsic motivation for utilitarian systems
Gerow, J. E., Ayyagari, R., Thatcher, J. B., & Roth, P. L. (2012) · European Journal of Information Systems · doi:10.1057/ejis.2012.25 · Cited by 130
An investigation of mobile payment (m-payment) services in Thailand
Phonthanukitithaworn, C., Sellitto, C., & Fong, M. W. L. (2016) · Asia-Pacific Journal of Business Administration · doi:10.1108/apjba-10-2014-0119 · Cited by 139
Elshafey, A., Saar, C. C., Aminudin, E. B., Gheisari, M., & Usmani, A. R. A. (2020) · Journal of Information Technology in Construction · doi:10.36680/j.itcon.2020.010 · Cited by 129
Oksanen, A., Savela, N., Latikka, R., & Koivula, A. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.568256 · Cited by 148
Won, D., Chiu, W., & Byun, H. (2022) · Asia Pacific Journal of Marketing and Logistics · doi:10.1108/apjml-09-2021-0709 · Cited by 163
Ortega, B. H., Martínez, J. J., & Martín, M. J. (2008) · Technovation · doi:10.1016/j.technovation.2007.11.002 · Cited by 136
Ruta, C. D. (2005) · Human Resource Management · doi:10.1002/hrm.20039 · Cited by 130
USABILITY AND USER EXPERIENCE: DESIGN AND EVALUATION
Lewis, J. R., & Sauro, J. (2021) · Wiley eBooks · doi:10.1002/9781119636113.ch38 · Cited by 156
Exploring user acceptance of technology using social networks
Hossain, L., & Silva, A. K. M. D. (2009) · The Journal of High Technology Management Research · doi:10.1016/j.hitech.2009.02.005 · Cited by 137
Perceived network externalities and communication technology acceptance
Strader, T. J., Ramaswami, S. N., & Houle, P. A. (2007) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000657 · Cited by 134
de Guinea, A. O., Titah, R., & Léger, P. (2014) · Journal of Management Information Systems · doi:10.2753/mis0742-1222300407 · Cited by 132
Hur, H. J., Lee, H. K., & Choo, H. J. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.03.051 · Cited by 128
Ünal, E., & Uzun, A. M. (2020) · British Journal of Educational Technology · doi:10.1111/bjet.13046 · Cited by 159
Vu, H. T., & Lim, J. (2021) · Behaviour and Information Technology · doi:10.1080/0144929x.2021.1884288 · Cited by 146
Nunes, A., Cordeiro, C., Limpo, T., & Castro, S. L. (2021) · Journal of Computer Assisted Learning · doi:10.1111/jcal.12635 · Cited by 180
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Aloudat, A., Michael, K., Chen, X., & Al‐Debei, M. M. (2013) · Telematics and Informatics · doi:10.1016/j.tele.2013.02.002 · Cited by 130
Lu, Y., Deng, Z., & Wang, B. (2008) · Information Systems Journal · doi:10.1111/j.1365-2575.2008.00312.x · Cited by 126
Holmes, A. F., & Douglass, A. (2021) · Journal of Emerging Technologies in Accounting · doi:10.2308/jeta-2020-054 · Cited by 153
Zheng, Y., Wang, Y., Liu, K. S.-X., & Jiang, M. Y. (2024) · Education and Information Technologies · doi:10.1007/s10639-024-12763-3 · Cited by 153
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Jeong, H. (2011) · Library Collections Acquisitions and Technical Services · doi:10.1016/j.lcats.2011.03.018 · Cited by 153
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Shin, D. (2008) · Interacting with Computers · doi:10.1016/j.intcom.2008.04.001 · Cited by 141
Sipior, J. C., Ward, B. T., & Connolly, R. (2010) · European Journal of Information Systems · doi:10.1057/ejis.2010.64 · Cited by 129
Conceptualising information and equipment technology adoption in construction
Sepasgozar, S. M. E., Loosemore, M., & Davis, S. (2016) · Engineering Construction & Architectural Management · doi:10.1108/ecam-05-2015-0083 · Cited by 138
The dark sides of AI personal assistant: effects of service failure on user continuance intention
Sun, Y., Li, S., & Yu, L. (2021) · Electronic Markets · doi:10.1007/s12525-021-00483-2 · Cited by 133
Salloum, S. A., & Shaalan, K. (2019) · Advances in Intelligent Systems and Computing · doi:10.1007/978-3-319-99010-1_43 · Cited by 128
Park, E., Kim, H., & Ohm, J. Y. (2014) · Behaviour and Information Technology · doi:10.1080/0144929x.2014.963672 · Cited by 135
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Rahman, M. S., Ko, M., Warren, J., & Carpenter, D. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.12.016 · Cited by 139
Rezvani, A., Khosravi, P., & Dong, L. (2017) · Computers in Human Behavior · doi:10.1016/j.chb.2017.07.032 · Cited by 129
Mlekus, L., Bentler, D., Paruzel, A., Kato-Beiderwieden, A.-L., & Maier, G. W. (2020) · Gruppe Interaktion Organisation Zeitschrift für Angewandte Organisationspsychologie (GIO) · doi:10.1007/s11612-020-00529-7 · Cited by 156
Kong, S. C., Yang, Y., & Hou, C. (2024) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2024.100328 · Cited by 125
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Olson, J. R., & Boyer, K. K. (2002) · Journal of Operations Management · doi:10.1016/s0272-6963(02)00089-x · Cited by 125
Holzinger, A., Searle, G., & Wernbacher, M. (2010) · Universal Access in the Information Society · doi:10.1007/s10209-010-0212-x · Cited by 127
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Yu, J., Zo, H., Choi, M., & Ciganek, A. P. (2013) · Online Information Review · doi:10.1108/oir-12-2011-0202 · Cited by 127
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Fuller, M. A., Serva, M. A., & Benamati, J. ‘. (2007) · Decision Sciences · doi:10.1111/j.1540-5915.2007.00174.x · Cited by 126
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Kwon, O., Choi, K.-W., & Kim, M. (2006) · Behaviour and Information Technology · doi:10.1080/01449290600709111 · Cited by 123
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Sabah, N. M. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.09.009 · Cited by 157
Shyu, S. H., & Huang, J. (2011) · Government Information Quarterly · doi:10.1016/j.giq.2011.04.002 · Cited by 127
Rusch, T. W., Lowry, P. B., Mair, P., & Treiblmaier, H. (2016) · Information & Management · doi:10.1016/j.im.2016.06.005 · Cited by 121
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Akhter, S. H. (2014) · Journal of Consumer Marketing · doi:10.1108/jcm-06-2013-0606 · Cited by 120
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AlQeisi, K. (2009) · Brunel University Research Archive (BURA) (Brunel University London) · Cited by 118
User acceptance of Malaysian government multipurpose smartcard applications
Loo, W. H., Yeow, P. H. P., & Chong, S. (2009) · Government Information Quarterly · doi:10.1016/j.giq.2008.07.004 · Cited by 122
Emotional user experience: Traits, events, and states☆
Jokinen, J. (2014) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2014.12.006 · Cited by 117
Clinton-McHarg, T., Yoong, S. L., Tzelepis, F., Regan, T., Fielding, A., Skelton, E., Kingsland, M., Ooi, J. Y., & Wolfenden, L. (2016) · Implementation Science · doi:10.1186/s13012-016-0512-5 · Cited by 116
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Ilie, V., Slyke, C. V., Parikh, M. A., & Courtney, J. F. (2009) · Decision Sciences · doi:10.1111/j.1540-5915.2009.00227.x · Cited by 119
Wong, K., Osman, R., Goh, P. S. C., & Rahmat, M. K. (2013) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 115
The Social Component of Information Systems—How Sociability Contributes to Technology Acceptance
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Metadata
- Authors
- Venkatesh, V.
- Affiliations
- University of Maryland, College Park (US)
- Corresponding author
- Venkatesh, Viswanath
- ORCID
- Venkatesh, Viswanath
- Venue
- Information Systems Research
- Published
- 2000-12
- Volume
- 11
- Issue
- 4
- Pages
- 342-365
- ISSN
- 1047-7047 (ISSN-L)
- 1526-5536
- OpenAlex
- W2166982098
- Cited by
- 6,664
- References
- 141
- Citations by year
- 2026: 229 · 2025: 337 · 2024: 343 · 2023: 418 · 2022: 464 · 2021: 439 · 2020: 344 · 2019: 361 · 2018: 299 · 2017: 297 · 2016: 345 · 2015: 342 · 2014: 365 · 2013: 327 · 2012: 302
- FWCI
- 117.58
- Type
- journal article
- Language
- en
- Open access
- green
- doi.org
- Locations
- Information Systems Research (publishedVersion)
- SSRN Electronic Journal (acceptedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Physical Sciences › Computer Science › Human-Computer Interaction › Usability and User Interface Design
- Social Sciences › Gender Studies › Gender and Technology in Education
- Keywords
- perceived ease of use, technology acceptance model, anchoring and adjustment, computer self-efficacy, facilitating conditions, intrinsic motivation, computer playfulness, computer anxiety, emotions, perceived enjoyment, user acceptance, employee technology use
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